[HTML][HTML] A Data-Centric AI Paradigm for Socio-Industrial and Global Challenges
A Majeed, SO Hwang - Electronics, 2024 - mdpi.com
Due to huge investments by both the public and private sectors, artificial intelligence (AI) has
made tremendous progress in solving multiple real-world problems such as disease …
made tremendous progress in solving multiple real-world problems such as disease …
Impact of interferon-γ on the target cell tropism of nanoparticles
O Zimmer, M Walter, M Remmert, O Maier… - Journal of Controlled …, 2023 - Elsevier
Abstract Interferon-γ (IFN-γ) is well known to reduce the infectivity of viral pathogens by
altering their tissue tropism. This effect is induced by upregulation of cholesterol 25 …
altering their tissue tropism. This effect is induced by upregulation of cholesterol 25 …
Data clustering with improved expectation maximization for multiomics data integration
For studying cancer biology, multiomics data integration has become an invaluable tool.
With the amount of-omics data, its availability and the pace of its acquisition increasing …
With the amount of-omics data, its availability and the pace of its acquisition increasing …
[PDF][PDF] What Data-Centric AI Can Do For k-means: a Faster, Robust kmeans-d
Data-centric AI (DCAI) is an emerging paradigm that prioritizes the quality, diversity, and
representation of data over model architecture and hyperparameter tuning. DCAI …
representation of data over model architecture and hyperparameter tuning. DCAI …